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Lead Specialist, Federal Data Engineer

KPMG
life insurance, 401(k)
United States, Virginia, McLean
8350 Broad Street (Show on map)
Oct 16, 2026

The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.

KPMG is currently seeking a Lead Specialist to join our Federal Advisory practice.

Responsibilities:
  • Support leadership in taking lead on developing technical contents such as business development documents, white papers and technical responses and provide proficient documentation and operating guidance for clients and users of all levels
  • Collaborate with KPMG or client teams in designing and developing technical architectures and best practices required as part of KPMG technical responses to the government RFPs and RFIs including detailed methodologies / roadmaps for cloud migration and integration
  • Lead multi-disciplinary and cross functional teams, workshops, and innovation sessions with clients to identify business opportunities and design, develop, and optimize architectures to tackle the Big Data and Data Science needs for federal and local government agencies
  • Utilize processes and best practices to plan, lead, and execute delivery of big data and data analytics engagements with clients to manage risks, set expectations, and ensure high quality deliverables
  • Design tools and services useful in cloud DevOps environments such as performance monitoring, security monitoring, deployment/configuration, continuous integration/build servers, and cloud resource creation scripts
  • Rapidly architect, design, prototype, and optimize software systems to tackle Data Access, Data Management, and Data Science needs
Qualifications:
  • A minimum of five years of experience with programming languages (Python, Scala preferred) with the ability to pick up new languages and technologies quickly
  • Bachelor's degree from an accredited college/university
  • Ability to rapidly ingest, transform, engineer, and visualize data for both ad hoc and product-level (e.g., automated) data and analytics solutions
  • Understanding of cloud and distributed systems principles (load balancing, networks, scaling, in-memory vs. disk, etc.)
  • Experience with large-scale big data methods (Hadoop stack, Cloud, Kubernetes)
  • Ability to travel as required to support firm engagements
  • Applicant must possess or be eligible for a U.S. Government clearance

KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG LLP is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Depending on job classification, standard work hours, and years of service, KPMG LLP provides a Total Rewards Package that includes 401(k) and medical and may include dental, vision, disability and life insurance, personal well-being and Personal Time Off. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year depending on your job classification and entity affiliation. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work.
Follow this link to obtain salary ranges by city outside of CA:

https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=M101ADV_3_26
KPMG LLP and its affiliates and subsidiaries ("KPMG") is an equal opportunity employer. KPMG complies with all applicable federal, state, and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race/ethnicity, color, creed, religion, age, sex/gender, national origin, ancestry, citizenship status, marital status, sexual orientation, gender identity or expression, disability, pregnancy, childbirth or other related condition, military/veteran status, genetic information, status as a victim of domestic violence or sexual abuse or any other legally protected status. The attached link contains further information regarding the firm's compliance with federal, state, and local recruitment and hiring laws
KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.
Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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